SaFeR: Safety-Critical Scenario Generation for Autonomous Driving Test via Feasibility-Constrained Token Resampling

SaFeR: Safety-Critical Scenario Generation for Autonomous Driving Test via Feasibility-Constrained Token Resampling explores SaFeR generates safety-critical scenarios for autonomous vehicles, balancing adversarial criticality with feasibility and realism using token resampling and Transformer models.. Commercial viability score: 6/10 in Autonomous Driving.